7 docs tagged with "normalization"

NRM-1 — Create a SOC project (+ users/roles, four-eyes)

Task Library primitive. Silver · normalize & conform. Governance is embedded here — task assignment and four-eyes live in the project, not a separate workstream. Client-neutral.

NRM-2 — Define the classifier + training/project data

Task Library primitive. Steps 3–6 of SOC project setup — what to predict and what to learn from. Client-neutral.

NRM-3 — Run model & generate prediction tasks

Task Library primitive. The first (unsupervised) run that produces predictions and training tasks. Client-neutral.

NRM-4 — Train in the UI (assign, review, approve)

Task Library primitive. Interactive training under embedded four-eyes governance. Client-neutral.

NRM-5 — Train via task import (export → vote → re-import)

Task Library primitive. Bulk training by editing an exported task sheet. Carries the resolved Vote semantics. Client-neutral.

NRM-6 — Enrich the source with project outputs

Task Library primitive. The normalized/predicted classifier becomes available as enrichment after a trained run. Client-neutral.

NRM-7 — Concept Parser project + training

Status: Deferred (by request). Stubbed for index completeness. The Concept Parser flow and its training template are deferred for now; this card is intentionally minimal and will be written to full depth when prioritized.